Data Engineer

For a client of TeamLease Services Ltd

2 to 4 Years

BJMC, LLB, BVSc, CA, CS ...

Data Integration

Bangalore

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Posted on 03 Apr 19

Job DescriptionLast Date 02 Jun 19

Build / deliver the ingestion and transformation of data pipelines and maintain optimal data pipeline processes.

 Assemble large, complex data sets that meet functional / non-functional business requirements.

 Build the process required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

 Build analytics models that utilize the data pipeline to provide actionable insights into customer needs, operational efficiency and other key business performance metrics.

 Work with data owners, and design teams to assist with data-related technical issues and support their data infrastructure needs.

 Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery.

 Keep our data separated and secure.

 Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

 Work with data and analytics experts to strive for greater functionality in our data systems.

 Optimize existing ETL process and employing a verity of data ingestion and data preparations tools, or write code such as Scala Python, and Java.

 Apply Data governance rules in collaborations with information Stewards.

 Manage & Maintain CDC and Data Catalogue processes.

 Creating and maintaining analytical extracts.

 Keep our data separated and secure.

Job Role

Others

Job Type

Full Time

Interview Type

Company Description

TeamLease Services established in 2002, is one of India's leading human resource service companies in the organized segment. A Fortune 500 company listed on both NSE & BSE markets, with eight offices and 1400 clients across the country. The company at present has about 100,000+ live associates/ trainees spread across the country and have till date given employment to 1.5+ million people with an aim to hire millions more.

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